US9774621B2 - Updating content detection devices and systems - Google Patents
Updating content detection devices and systems Download PDFInfo
- Publication number
- US9774621B2 US9774621B2 US15/149,083 US201615149083A US9774621B2 US 9774621 B2 US9774621 B2 US 9774621B2 US 201615149083 A US201615149083 A US 201615149083A US 9774621 B2 US9774621 B2 US 9774621B2
- Authority
- US
- United States
- Prior art keywords
- content detection
- update
- content
- station
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1441—Countermeasures against malicious traffic
- H04L63/145—Countermeasures against malicious traffic the attack involving the propagation of malware through the network, e.g. viruses, trojans or worms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
- G06F21/55—Detecting local intrusion or implementing counter-measures
- G06F21/56—Computer malware detection or handling, e.g. anti-virus arrangements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
- G06F21/55—Detecting local intrusion or implementing counter-measures
- G06F21/56—Computer malware detection or handling, e.g. anti-virus arrangements
- G06F21/567—Computer malware detection or handling, e.g. anti-virus arrangements using dedicated hardware
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/02—Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/02—Network architectures or network communication protocols for network security for separating internal from external traffic, e.g. firewalls
- H04L63/0227—Filtering policies
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
- H04L63/1416—Event detection, e.g. attack signature detection
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
- H04L63/1425—Traffic logging, e.g. anomaly detection
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1441—Countermeasures against malicious traffic
Landscapes
- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- General Engineering & Computer Science (AREA)
- Computer Hardware Design (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Virology (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Information Transfer Between Computers (AREA)
Abstract
A method of updating a content detection module includes obtaining content detection data, and transmitting the content detection data to a content detection module, wherein the transmitting is performed not in response to a request from the content detection module. A method of sending content detection data includes obtaining content detection data, selecting an update station from a plurality of update stations, and sending the, content detection data to the selected update station. A method of building a content detection system includes establishing a first communication link between a central station and an update station, the central station configured to transmit content detection data to the update station, and establishing a second communication link between the update station and a content detection module.
Description
This application is a Continuation of U.S. application Ser. No. 13/546,915, filed Jul. 11, 2012, which is a Continuation of U.S. application Ser. No. 13/240,661 filed Sep. 22, 2011 and issued on Sep. 25, 2012 as U.S. Pat. No. 8,276,205, which is a Continuation of U.S. application Ser. No. 11/000,703, filed Nov. 30, 2004 and issued on Nov. 1, 2011 as U.S. Pat. No. 8,051,483, which claims priority to U.S. Provisional Patent Application No. 60/552,457, filed on Mar. 12, 2004, the entire disclosures of each being hereby incorporated by reference.
Field of the Invention
The field of the invention relates to computer network and computer systems, and more particularly, to systems and methods for updating content detection modules.
Background
The generation and spreading of computer viruses are major problems in computer systems and computer networks. A computer virus is a program that is capable of attaching to other programs or sets of computer instructions, replicating itself, and/or performing unsolicited or malicious actions on a computer system. Viruses may be embedded in email attachments, files downloaded from Internet, and macros in MS Office files. The damage that can be done by a computer virus may range from mild interference with a program, such as a display of unsolicited messages or graphics, to complete destruction of data on a user's hard drive or server.
To provide protection from viruses, most organizations have installed virus scanning software on computers in their network. However, these organizations may still be vulnerable to a virus attack until every host in their network has received updated anti-virus software. With new attacks reported almost weekly, organizations are constantly exposed to virus attacks, and spend significant resources ensuring that all hosts are constantly updated with new antivirus information. For example, with existing content detection software, a user may have to request for a download of a new virus signature in order to enable the content detection software to detect new virus that has been created since the last update. If a user delays in downloading the new virus signature, the content detection software would be unable to detect the new virus. Also, with existing content detection systems, new virus signatures are generally not made available shortly after they are discovered. As such, a computer mat be subjected to attack by the new virus until the new virus signature is available and is downloaded by a user.
Besides virus attacks, many organizations also face the challenge of dealing with inappropriate content, such as email spam, misuse of networks in the form of browsing or downloading inappropriate content, and use of the network for non-productive tasks. Many organizations are struggling to control access to appropriate content without unduly restricting access to legitimate material and services. Currently, the most popular solution for blocking unwanted web activity is to block access to a list of banned or blacklisted web sites and pages based on their URLs. However, as with virus scanning, the list of blocked URL requires constant updating. If a user delays in downloading the list of URL, or if the list of URL is not made available soon enough, the content detection software would be unable to detect undesirable content, such as web pages.
Many email spam elimination systems also use blacklists (spammer lists) to eliminate unwanted email messages. These systems match incoming email messages against a list of mail servers that have been pre-identified to be spam hosts, and prevent user access of messages from these servers. However, as with virus scanning, the spammer list also requires constant updating. If a user delays in downloading the spammer list, or if the spammer list is not made available soon enough, the content detection software would be unable to detect undesirable content.
In accordance with some embodiments, a method of updating a content detection module includes obtaining content detection data, and transmitting the content detection data to a content detection module, wherein the transmitting is performed not in response to a request from the content detection module.
In accordance with other embodiments, a system for updating a content detection module includes means for obtaining content detection data, and means for transmitting the content detection data to a content detection module, wherein the means for transmitting is configured to perform the transmitting not in response to a request from the content detection module.
In accordance with other embodiments, a computer-program product having a medium, the medium having a set of instructions readable by a processor, an execution of the instructions by the processor causes a process to be performed, the process includes obtaining content detection data, and transmitting the content detection data to a content detection module, wherein the transmitting is performed not in response to a request from the content detection module.
In accordance with other embodiments, a content detection system includes a station having a computer-readable medium for storing content detection data, the content detection data usable by a content detection module to detect content, wherein the station is configured to transmit the content detection data not in response to a request by the content detection module.
In accordance with other embodiments, a method of sending content detection data includes determining whether a first update station received the content detection data, and sending the content detection data to the first update station if the first update station did not receive the content detection data.
In accordance with other embodiments, a system for sending content detection data includes means for determining whether a first update station received the content detection data, and means for sending the content detection data to the first update station if the first update station did not receive the content detection data.
In accordance with other embodiments, a computer-program product having a medium, the medium having a set of instructions readable by a processor, an execution of the instructions by the processor causes a process to be performed, the process includes determining whether a first update station received the content detection data, and sending the content detection data to the first update station if the first update station did not receive the content detection data.
In accordance with other embodiments, a method of sending content detection data includes obtaining content detection data, selecting an update station from a plurality of update stations, and sending the content detection data to the selected update station.
In accordance with other embodiments, a system for sending content detection data includes means for obtaining content detection data, means for selecting an update station from a plurality of update stations, and means for sending the content detection data to the selected update station.
In accordance with other embodiments, a computer-program product having a medium, the medium having a set of instructions readable by a processor, an execution of the instructions by the processor causes a process to be performed, the process includes obtaining content detection data, selecting an update station from a plurality of update stations, and sending the content detection data to the selected update station.
In accordance with other embodiments, a method of building a content detection system includes establishing a first communication link between a central station and an update station, the central station configured to transmit content detection data to the update station, and establishing a second communication link between the update station and a content detection module.
In accordance with other embodiments, a system for building a content detection system includes means for establishing a first communication link between a central station and an update station, the central station configured to transmit content detection data to the update station, and means for establishing a second communication link between the update station and a content detection module.
In accordance with other embodiments, a computer-program product having a medium, the medium having a set of instructions readable by a processor, an execution of the instructions by the processor causes a process to be performed, the process includes establishing a first communication link between a central station and an update station, the central station configured to transmit content detection data to the update station, and establishing a second communication link between the update station and a content detection module.
Other aspects and features of the invention will be evident from reading the following detailed description of the preferred embodiments, which are intended to illustrate, not limit, the invention.
The drawings illustrate the design and utility of preferred embodiments of the application, in which similar elements are referred to by common reference numerals. In order to better appreciate how advantages and objects of various embodiments are obtained, a more particular description of the embodiments are illustrated in the accompanying drawings. Understanding that these drawings depict only typical embodiments of the application and are not therefore to be considered limiting its scope, the embodiments will be described and explained with additional specificity and detail through the use of the accompanying drawings.
Various embodiments are described hereinafter with reference to the figures. It should be noted that the figures are not drawn to scale and that elements of similar structures or functions are represented by like reference numerals throughout the figures. It should also be noted that the figures are only intended to facilitate the description of specific embodiments. They are not intended as an exhaustive description of the invention or as a limitation on the scope of the invention. In addition, an illustrated embodiment may not show all aspects or advantages. An aspect or an advantage described in conjunction with a particular embodiment is not necessarily limited to that embodiment and can be practiced in any other embodiments, even if not so illustrated or described.
In the illustrated embodiments, processing station 104 is a computer. Alternatively, processing station 104 can be a server, a module, a device, a computer program, and the like, e.g., any one of a variety of devices that can receive and transmit information. Processing station 104 is configured to determine content detection data, such as a virus signature, a spammer identification, a URL, and the like, and transmit the content detection data to central station 102. For example, processing station 104 can be configured (e.g., programmed) to determine the content detection data using any of the techniques known in the art. Alternatively, the content detection data can be input into processing station 104 by a user of processing station 104. Although one processing station 104 is shown, in other embodiments, content detection system 100 can include more than one processing station 104 in communication with central station 102.
Update stations 106 receive the content detection data from central station 102, and send the content detection data to content detection modules 108 (e.g., through the Internet). Each of the update stations 106 is located at a geographical location that is different from others. For example, update station 106 a may be located at a different building, a different street, a different city, or a different country, from update station 106 b. In some embodiments, the update stations 106 also receives subscriber data, such as a user identification of a content detection module 108, level of protection desired by the user, etc., from content detection module(s) 108, and forward the subscriber data to central station 102 for processing. In other embodiments, update station 106 may be configured to handle requests (such as a subscriber's contract information, the latest update data, etc.) from content detection module(s) 108, collect information (such as the version information, IP address, geographical location of the detection module, etc.) from content detection module(s) 108, and forward collected information to central station 102. In the illustrated embodiments, each update station 106 is a computer, but alternatively, can be a server, a module, a device, a computer program, and the like, e.g., any one of a variety of devices that can receive and transmit information. In FIG. 1 , three update stations 106 a-106 c and five content detection modules 108 a-108 e are shown. However, in alternative embodiments, the system 100 can have different numbers of update station(s) 106 and different numbers of content detection module(s) 108.
In the illustrated embodiments, each content detection module 108 is configured to receive electronic content (content data), and determines whether the electronic content contains undesirable content based on the content detection data it receives from update station 106. For example, content detection module 108 can be configured to detect virus based on a virus signature received from update station 106. In the illustrated embodiments, module 10 is implemented as a component of a gateway (or gateway product), which is configured to perform policy enforcement. As used in this specification, the term “policy enforcement” refers to a process or procedure, an execution of which creates a result that can be used to determine whether to pass data to user, and includes (but is not limited to) one or a combination of: source verification, destination verification, user authentication, virus scanning, content scanning (e.g., scanning for undesirable content), and intrusion detection (e.g., detecting undesirable content, such as worms, porno website, etc.). In other embodiments, instead of being a component of gateway, content detection module 108 can be a separate component that is coupled to gateway. In other embodiments, content detection module 108 can be a gateway product by itself.
In some embodiments, content detection module 108 can be implemented using software that is loaded onto a computer, a server, or other types of memory, such as a disk or a CD-ROM. Alternatively, content detection module 108 can be implemented as web applications. In alternative embodiments, content detection module 108 can be implemented using hardware. For example, in some embodiments, content detection module 108 includes an application-specific integrated circuit (ASIC), such as a semi-custom ASIC processor or a programmable ASIC processor. ASICs, such as those described in Application-Specific Integrated Circuits by Michael J. S. Smith, Addison-Wesley Pub Co. (1st Edition, June 1997), are well known in the art of circuit design, and therefore will not be described in further detail herein. In still other embodiments, content detection module 108 can be any of a variety of circuits or devices capable of performing the functions described herein. For example, in alternative embodiments, content detection module 108 can include a general purpose processor, such as a Pentium processor. In other embodiments, content detection module 108 can be implemented using a combination of software and hardware. In some embodiments, content detection module 108 may be implemented as a firewall, a component of a firewall, or a component that is configured to be coupled to a firewall.
Having described the components of the content detection system 100, methods of using content detection system 100 in accordance with some embodiments will now be described. First, processing station 104 receives an electronic content. By means of non-limiting examples, such electronic content can be a web page, an email, an email attachment, a word file, a program, etc., and the like, e.g., a file that may contain undesirable content. In other examples, electronic content can be a virus, a spam, a worm, or any of other undesirable content. Processing station 104 can receive the electronic content from one or more sources. For example, a content detection module 108 may detect a content that is suspicious (or that requires further processing), in which case, content detection module 108 then sends the electronic content to processing station 104 for processing. Alternatively, processing station 104 can receive electronic content from a person, who sends the content to processing station 104 via email. In other embodiments, electronic content can be input into processing station 104 by a user of processing station 104.
After processing station 104 received the electronic content, processing station 104 then analyzes such information to determine whether the content contains/is a threat (e.g., a virus, a worm, a spam, etc.) that is desired to be detected. If processing station 104 determines that the electronic content contains a threat that is desired to be detected, processing station 104 then generates content detection data for the electronic content. For example, after processing station 104 received a set of content data, processing station 104 then performs an analysis using conventional or known technique(s) to determine whether it is a virus (an example of content that is desired to be detected). In some embodiments, processing station 104 is programmed to perform such analysis. Alternatively, the set of content data can be analyzed by an administrator, a separate device, or a separate software, and the result of the analysis is then input to processing station 104. If processing station 104 determines that the set of content data includes content that is undesirable (e.g., desired to be detected by content detection modules 108), processing station then generates content detection data, which can be used by content detection modules 108 to detect the undesirable content. By means of non-limiting examples, content detection data can be a virus signature, a virus definition, a spammer identification, a URL, a NIDS signature, a time at which content detection data is created, a level of threat, etc., and the like, e.g., any information that can be used in a content detection or screening process. In other embodiments, processing station 104 does not generate the content detection data. In such cases, content detection data can be provided by a separate source, and is input into processing station 104.
As soon as, or shortly after, processing station 104 obtains the content detection data, processing station 104 then transmits the content detection data to central station 102. If processing station 104 and central station 102 are implemented as a single unit, then the step of transmitting content detection data to central station 102 is omitted. In response to obtaining the content detection data, central station 102 initiates a transmission process for transmitting the content detection data to update stations 106. In the illustrated embodiments, central station 102 maintains a list of prescribed geographical areas, a list of content detection modules 108 in each prescribed geographical area, and a list of update stations 106 for serving (e.g., sending content detection data to and/or from) each prescribed geographical area. Based on the lists, central station 102 assigns update stations 106 to provide the content detection data to content detection modules 108 within the prescribed geographical areas. In some embodiments, one update station 106 is used to serve content detection modules 108 within a prescribed geographical area. Alternatively, more than one update station 106 can be used to serve content detection modules 108 within a prescribed geographical area.
In some cases, an update station 106 can be configured to check another update station 106 to determine whether it has received content detection data. For example, if update station 106 a determines that update station 106 b did not receive content detection data, update station 106 a then sends content detection data to update station 106 b. Various techniques can be used to determine whether update station 106 b received content detection data. For example, in some embodiments, update station 106 a is configured to send an inquiry to update station 106 b. If update station 106 b did not receive content detection data, update station 106 b then transmits a signal or a reply to update station 106 a, indicating that update station 106 b did not receive content detection data. Alternatively, update station 106 a is configured to initiate a timer after it has received content detection data. The timer continues to run until update station 106 a receives a signal from update station 106 b indicating that update station 106 b received content detection data. If update station 106 a does not receive such signal from update station 106 b within a prescribed time period, update station 106 a then determines that update station 106 b did not receive the content detection data. Other techniques known in the art can also be used to check whether update station 106 b received content detection data. If it is determined that update station 106 b did not receive content detection data, update station 106 a then sends content detection data to update station 106 b. It should be noted that in other embodiments, instead of having one update station check another update station, one update station can check a plurality of other update stations. Also, in other embodiments, more than one update station 106 can check another update station 106.
In the illustrated embodiments, each of the update stations 106 are configured (e.g., pre-assigned) to serve one or more content detection module 108. For example, update station 106 a can be configured to serve content detection modules 108 a, 108 b, update station 106 b can be configured to serve content detection module 108 c, and update station 106 c can be configured to serve content detection modules 108 d, 108 e.
In other embodiments, instead of pre-assigning update stations 106 to serve certain content detection modules 108, central station 102 determines which update station 106 to use for sending content detection data based on a condition during use, e.g., based on load demands and/or capacities of update stations 106. As used in this specification, “capacity” refers to a variable that represents or associates with a level of ability for an update station 104 to handle content transmitted thereto. For example, capacity of an update station 104 can be an amount of memory space available, etc. Using the example of FIG. 1 , central station 102 receives information regarding capacities of update stations 106 a-106 c, and selects one or more update stations 106 for transmitting content detection data based on their load and/or capacities. For example, if update station 106 a has a high load demand (e.g., above a prescribed load demand) and/or if its remaining capacity to handle additional traffic is low (e.g., below a prescribed capacity threshold), central station 102 then uses update stations 106 b and 106 c to transmit content detection data to content detection modules 108 a-108 e. Load on the update stations 106 b and 106 c can be approximately shared in equal portion. For example, if central station 102 determines that update stations 106 b and 106 c are available, central station 102 can assign update station 106 b to transmit content detection data to modules 108 a and 108 b, and update station 106 c to transmit content detection data to modules 108 a-108 c. Alternatively, load among the available update stations 106 can be distributed based on the respective load demand and/or capacities of the available update stations 106. For example, if update stations 106 b, 106 c have capacities to serve twenty (20) and eighty (80) content detection modules 108, respectively, central station 102 then assign update stations 106 b, 106 c to transmit content detection data such that the ratio of the assigned loads approximately corresponds with the ratio of the capacities of the available update stations 106 b, 106 c. Following the above example, central station 102 will assign update station 106 b to serve content detection module 108 a, and update station 106 c to serve content detection modules 108 b-108 e.
In other embodiments, central station 102 maintains an order list of update station 106, which prescribes an order (e.g., in a round-robin configuration) in which load is to be assigned to update stations 106. For example, the order list may have update stations 106 a-106 c as primary, secondary, and tertiary stations, respectively, for serving content detection modules 108 a-108 e. In such cases, central station 102 will initially attempt to use update station 106 a (the primary station) for transmitting content detection data to content detection modules 108 a-108 e. However, if update station 106 a is unavailable (e.g., due to heavy load demand), central station 102 will then attempt to use update station 106 b (the secondary station) for transmitting content detection data to content detection modules 108 a-108 e. If update station 106 b is unavailable (e.g., due to heavy load demand), central station 102 will then attempt to use update station 106 c (the third station on the order list) for transmitting content detection data to content detection modules 108 a-108 e.
It should be noted that the technique for transmitting content detection data from central station 102 and/or update station(s) 106 to content detection module(s) 108 should not be limited to the examples discussed previously, and that other techniques can also be used in other embodiments. For example, one or more of the techniques described previously can be combined with another technique. Also, in other embodiments, central station 102 does not maintain the list of content detection modules 108 and the list of geographical areas. In such cases, after central station 102 receives content detection data, it transmits the content detection data to all update stations 106. The update stations 106 are configured to coordinate among themselves to ensure that all content detection modules 108 are provided with the content detection data. For example, in the example of FIG. 1 , update station 106 a can be configured (e.g., programmed) to communicate with update station 106 b for various purposes, such as, to check a load demand on update station 106 b, to check a capacity of update station 106 b, to check an availability of update station 106 b, and/or to verify that update station 106 b has received content detection data. In some embodiments, based on the load demand and/or the capacities on the update stations 106, update stations 106 share the load among themselves (e.g., by dividing the load in equal parts, or by distributing the load based on respective ratios of the demand and/or capacities on the update stations 106) to pass the content detection data to content detection modules 108. In some embodiments, one update station 106 can be configured to communicate with one or more other update station 106. In such cases, the update station 106 can check one or more other update station 106 to make sure that content detection data have been received, and/or to serve as backup for the one or more other update station 106. In other embodiments, more than one update stations 106 can check an update station 106, and serve as backup for the update station 106.
After content detection modules 108 received the content detection data (e.g., a virus signature), content detection modules 108 can then utilize the content detection data to detect content. In some embodiments, the content detection data is a virus signature, in which case, content detection modules 108 utilizes the virus signature to detect the virus that corresponds with the virus signature. Alternatively, the content detection data is a spammer identification, in which case, content detection modules 108 utilizes the spammer identification to detect and screen undesirable spam that corresponds with the spammer identification. In other embodiments, the content detection data can be other information, such as, a time at which content detection data is created, that content detection modules 108 can use in a content detection or screening process.
Using the above method, content detection data can be provided to content detection modules 108 within a short period, such as, several minutes, and in some cases, within seconds, after the content detection data has been obtained (determined) by processing station 104 and/or central station 102. This allows content detection modules 108 to be updated in substantially real time. This is advantageous because some content detection data such as virus definitions are very time-sensitive, and should be distributed to all content detection modules 108 as soon as the content detection data are available. Also, with system 100, the responsibility to keep up with the latest security update (e.g., content detection data) is shifted from users of content detection modules 108 to processing station 104 and/or central station 102. In addition, unlike typical update method, which requires a content detection module to regularly “poll” an update station to check if there is a new update, central station 102 and/or update stations 106 “push” the latest security update data within minutes (or even seconds) after they are available to all content detection modules 108. This method has the advantage of faster response time during an outbreak and less resource consumption on content detection modules 108.
Further, using a network of update stations 106 for transmitting content detection data is reliable because if update station(s) 106 is not available or fail to work properly, a nearby update station 106 in the same prescribed geographical area or update station(s) 106 located in other prescribed geographical area can provide the content detection data to content detection modules 108. Also, with content detection system 100, an update station 106 can be added, removed from the content detection system 100 at run-time without causing service interruption. If the update stations 106 for certain geographical areas cannot keep up with the ever-increasing load, more update station(s) can be added to the content detection system 100. As such, content detection system 100 provides high scalability.
In some embodiments, an update station can be customized to serve the need of certain organization(s). Some organizations have some special policies that restrict their network device's access to the Internet. For example, their network connection from Intranet to Internet is only limited to certain host(s). Therefore, it may not be possible for their content detection modules 108 inside the Intranet to access update station(s) 106. In such cases, a customized update station can be provided outside the Intranet of the organization (customer). For example, the customer can configure an update station to serve its own content detection module(s) 108. In some embodiments, a user interface can be provided for allowing a user to select which content detection module(s) 108 within the organization to use a customized update station and which content detection module(s) 108 to use a regular update station. As with update stations 106, more than one customized update station can be provided, and these customized update stations can back up each other and distribute their load.
Computer Architecture
As described previously, any of central station 102, processing station 104, update station 106, and content detection module 108 can be implemented using a computer. For example, one or more instructions can be imported into a computer to enable the computer to perform any of the functions described herein.
Embodiments of the invention are related to the use of computer system 200 for transmitting content data. According to some embodiments of the invention, such use may be provided by computer system 200 in response to processor 204 executing one or more sequences of one or more instructions contained in the main memory 206. Such instructions may be read into main memory 206 from another computer-readable medium, such as storage device 210. Execution of the sequences of instructions contained in main memory 206 causes processor 204 to perform the process steps described herein. One or more processors in a multi-processing arrangement may also be employed to execute the sequences of instructions contained in main memory 206. In alternative embodiments, hard-wired circuitry may be used in place of or in combination with software instructions to implement the invention. Thus, embodiments of the invention are not limited to any specific combination of hardware circuitry and software.
The term “computer-readable medium” as used herein refers to any medium that participates in providing instructions to processor 204 for execution. Such a medium may take many forms, including but not limited to, non-volatile media, volatile media, and transmission media. Non-volatile media includes, for example, optical or magnetic disks, such as storage device 210. Volatile media includes dynamic memory, such as main memory 206. Transmission media includes coaxial cables, copper wire and fiber optics, including the wires that comprise bus 202. Transmission media can also take the form of acoustic or light waves, such as those generated during radio wave and infrared data communications.
Common forms of computer-readable media include, for example, a floppy disk, a flexible disk, hard disk, magnetic tape, or any other magnetic medium, a CD-ROM, any other optical medium, punch cards, paper tape, any other physical medium with patterns of holes, a RAM, a PROM, and EPROM, a FLASH-EPROM, any other memory chip or cartridge, a carrier wave as described hereinafter, or any other medium from which a computer can read.
Various forms of computer-readable media may be involved in carrying one or more sequences of one or more instructions to processor 204 for execution. For example, the instructions may initially be carried on a magnetic disk of a remote computer. The remote computer can load the instructions into its dynamic memory and send the instructions over a telephone line using a modem. A modem local to computer system 200 can receive the data on the telephone line and use an infrared transmitter to convert the data to an infrared signal. An infrared detector coupled to bus 202 can receive the data carried in the infrared signal and place the data on bus 202. Bus 202 carries the data to main memory 206, from which processor 204 retrieves and executes the instructions. The instructions received by main memory 206 may optionally be stored on storage device 210 either before or after execution by processor 204.
Network link 220 typically provides data communication through one or more networks to other devices. For example, network link 220 may provide a connection through local network 222 to a host computer 224. Network link 220 may also transmit data between an equipment 226 and communication interface 218. The data streams transported over the network link 220 can comprise electrical, electromagnetic or optical signals. The signals through the various networks and the signals on network link 220 and through communication interface 218, which carry data to and from computer system 200, are exemplary forms of carrier waves transporting the information. Computer system 200 can send messages and receive data, including program code, through the network(s), network link 220, and communication interface 218. Although one network link 220 is shown, in alternative embodiments, communication interface 218 can provide coupling to a plurality of network links, each of which connected to one or more local networks. In some embodiments, computer system 200 may receive data from one network, and transmit the data to another network. Computer system 200 may process and/or modify the data before transmitting it to another network.
Although particular embodiments have been shown and described, it will be understood that it is not intended to limit the present inventions to the preferred embodiments, and it will be obvious to those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the present inventions. The specification and drawings are, accordingly, to be regarded in an illustrative rather than restrictive sense. The present inventions are intended to cover alternatives, modifications, and equivalents, which may be included within the spirit and scope of the present inventions as defined by the claims.
Claims (10)
1. A content detection system, comprising:
a processor;
a communication interface device;
a content detection module; and
a data storage device storing:
content detection data received by the content detection module of a first update station to detect content and for forwarding by the first update station to at least a second update station;
instructions to process content received via the communication interface device to:
determine whether received content contains suspicious content data or the suspicious content data is a threat to detect;
generate content detection data as a function of the received data when the suspicious content data contains or is a threat;
based on a list of prescribed geographic locations of the plurality of update stations to receive content detection data updates, identify, through execution of instructions on the processor, the first update station to receive the content detection data update;
identify, through execution of instructions on the processor of the network device, the at least one second update station to receive the content detection data update based on the list of prescribed geographic locations of the plurality of update stations to receive content detection data updates;
send, from the first update station via the communication interface device, the content detection data update to the at least one second update stations including data identifying at least one content detection module of a plurality of content detection modules, coupled through the network to the plurality of update stations, to receive the content detection data update and at least one instruction to distribute the content detection data update to the identified at least one content detection module, wherein the distribution is performed not in response to a request from the at least one content detection module.
2. The system of claim 1 , further comprising:
instructions to select the first update station from the update stations based on real time conditions of the first update station.
3. The system of claim 1 , wherein the content detection system is a central station.
4. The system of claim 1 , wherein the central station is configured to select an update station of a plurality of update stations to be the first update to which the central station transmits the content detection data.
5. The system of claim 1 , wherein the content detection system is configured to transmit the content detection data in substantially real time when the content is detected.
6. The system of claim 1 , wherein the content detection system is selected from the group consisting of a computer, a server, a device, and a software.
7. The system of claim 1 , wherein the content detection data detects malicious content.
8. The system of claim 1 , wherein the content comprises at least one of: a web page, an email, an email attachment, a word processing file, and an application program.
9. A computer-implemented method in a content detection system, the method comprising:
receiving content, via a communication interface device of the content detection system;
determining, via a processor of the content detection system executing instructions, whether the received content contains suspicious content data or the suspicious content data is a threat to detect;
generating, via the processor, content detection data as a function of the received data when the suspicious content data contains or is a threat;
based on a list of prescribed geographic locations of the plurality of update stations to receive content detection data updates, identifying, through execution of instructions on the processor, the first update station to receive the content detection data update;
identifying, through execution of instructions on the processor of the network device, the at least one second update station to receive the content detection data update based on the list of prescribed geographic locations of the plurality of update stations to receive content detection data updates;
sending, from the first update station via the communication interface device, the content detection data update to the at least one second update stations including data identifying at least one content detection module of a plurality of content detection modules, coupled through the network to the plurality of update stations, to receive the content detection data update and at least one instruction to distribute the content detection data update to the identified at least one content detection module, wherein the distribution is performed not in response to a request from the at least one content detection module.
10. A non-transitory computer readable medium storing instructions that, when executed by a processor, perform a method in a content detection system, the method comprising:
receiving content, via a communication interface device of the content detection system;
determining, via a processor of the content detection system executing instructions, whether the received content contains suspicious content data or the suspicious content data is a threat to detect;
generating, via the processor, content detection data as a function of the received data when the suspicious content data contains or is a threat;
based on a list of prescribed geographic locations of the plurality of update stations to receive content detection data updates, identifying, through execution of instructions on the processor, the first update station to receive the content detection data update;
identifying, through execution of instructions on the processor of the network device, the at least one second update station to receive the content detection data update based on the list of prescribed geographic locations of the plurality of update stations to receive content detection data updates;
sending, from the first update station via the communication interface device, the content detection data update to the at least one second update stations including data identifying at least one content detection module of a plurality of content detection modules, coupled through the network to the plurality of update stations, to receive the content detection data update and at least one instruction to distribute the content detection data update to the identified at least one content detection module, wherein the distribution is performed not in response to a request from the at least one content detection module.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US15/149,083 US9774621B2 (en) | 2004-03-12 | 2016-05-07 | Updating content detection devices and systems |
Applications Claiming Priority (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US55245704P | 2004-03-12 | 2004-03-12 | |
US11/000,703 US8051483B2 (en) | 2004-03-12 | 2004-11-30 | Systems and methods for updating content detection devices and systems |
US13/240,661 US8276205B2 (en) | 2004-03-12 | 2011-09-22 | Systems and methods for updating content detection devices and systems |
US13/546,915 US9450977B2 (en) | 2004-03-12 | 2012-07-11 | Systems and methods for updating content detection devices and systems |
US15/149,083 US9774621B2 (en) | 2004-03-12 | 2016-05-07 | Updating content detection devices and systems |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US13/546,915 Continuation US9450977B2 (en) | 2004-03-12 | 2012-07-11 | Systems and methods for updating content detection devices and systems |
Publications (2)
Publication Number | Publication Date |
---|---|
US20160381044A1 US20160381044A1 (en) | 2016-12-29 |
US9774621B2 true US9774621B2 (en) | 2017-09-26 |
Family
ID=34921857
Family Applications (8)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US11/000,703 Expired - Fee Related US8051483B2 (en) | 2004-03-12 | 2004-11-30 | Systems and methods for updating content detection devices and systems |
US12/639,800 Expired - Fee Related US8056135B2 (en) | 2004-03-12 | 2009-12-16 | Systems and methods for updating content detection devices and systems |
US13/240,661 Active US8276205B2 (en) | 2004-03-12 | 2011-09-22 | Systems and methods for updating content detection devices and systems |
US13/546,915 Active 2027-02-14 US9450977B2 (en) | 2004-03-12 | 2012-07-11 | Systems and methods for updating content detection devices and systems |
US13/795,407 Active US8935790B2 (en) | 2004-03-12 | 2013-03-12 | Systems and methods for updating content detection devices and systems |
US14/072,292 Active US8943597B2 (en) | 2004-03-12 | 2013-11-05 | Systems and methods for updating content detection devices and systems |
US14/072,184 Active US9231968B2 (en) | 2004-03-12 | 2013-11-05 | Systems and methods for updating content detection devices and systems |
US15/149,083 Active US9774621B2 (en) | 2004-03-12 | 2016-05-07 | Updating content detection devices and systems |
Family Applications Before (7)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US11/000,703 Expired - Fee Related US8051483B2 (en) | 2004-03-12 | 2004-11-30 | Systems and methods for updating content detection devices and systems |
US12/639,800 Expired - Fee Related US8056135B2 (en) | 2004-03-12 | 2009-12-16 | Systems and methods for updating content detection devices and systems |
US13/240,661 Active US8276205B2 (en) | 2004-03-12 | 2011-09-22 | Systems and methods for updating content detection devices and systems |
US13/546,915 Active 2027-02-14 US9450977B2 (en) | 2004-03-12 | 2012-07-11 | Systems and methods for updating content detection devices and systems |
US13/795,407 Active US8935790B2 (en) | 2004-03-12 | 2013-03-12 | Systems and methods for updating content detection devices and systems |
US14/072,292 Active US8943597B2 (en) | 2004-03-12 | 2013-11-05 | Systems and methods for updating content detection devices and systems |
US14/072,184 Active US9231968B2 (en) | 2004-03-12 | 2013-11-05 | Systems and methods for updating content detection devices and systems |
Country Status (1)
Country | Link |
---|---|
US (8) | US8051483B2 (en) |
Families Citing this family (43)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8051483B2 (en) | 2004-03-12 | 2011-11-01 | Fortinet, Inc. | Systems and methods for updating content detection devices and systems |
US8656488B2 (en) * | 2005-03-11 | 2014-02-18 | Trend Micro Incorporated | Method and apparatus for securing a computer network by multi-layer protocol scanning |
US7992206B1 (en) | 2006-12-14 | 2011-08-02 | Trend Micro Incorporated | Pre-scanner for inspecting network traffic for computer viruses |
US8505092B2 (en) | 2007-01-05 | 2013-08-06 | Trend Micro Incorporated | Dynamic provisioning of protection software in a host intrusion prevention system |
US7930747B2 (en) * | 2007-01-08 | 2011-04-19 | Trend Micro Incorporated | Host intrusion prevention server |
US8341428B2 (en) * | 2007-06-25 | 2012-12-25 | International Business Machines Corporation | System and method to protect computing systems |
US20080320423A1 (en) * | 2007-06-25 | 2008-12-25 | International Business Machines Corporation | System and method to protect computing systems |
US7996896B2 (en) * | 2007-10-19 | 2011-08-09 | Trend Micro Incorporated | System for regulating host security configuration |
US8156234B1 (en) * | 2008-02-14 | 2012-04-10 | Trend Micro Incorporated | Multicast distribution of computer virus pattern files with fail over mechanism |
US8799888B1 (en) | 2011-05-20 | 2014-08-05 | Amazon Technologies, Inc. | Updating an application |
US8869135B1 (en) * | 2011-05-20 | 2014-10-21 | Amazon Technologies, Inc. | Deploying updates to an application during periods of off-peak demand |
US8850419B1 (en) | 2011-05-20 | 2014-09-30 | Amazon Technologies, Inc. | Descaling computing resources |
KR101908944B1 (en) * | 2011-12-13 | 2018-10-18 | 삼성전자주식회사 | Apparatus and method for analyzing malware in data analysis system |
EP2795513A4 (en) * | 2011-12-22 | 2015-12-16 | Intel Corp | Systems and methods for providing anti-malware protection on storage devices |
WO2013095573A1 (en) | 2011-12-22 | 2013-06-27 | Intel Corporation | Activation and monetization of features built into storage subsystems using a trusted connect service back end infrastructure |
CN103678379B (en) * | 2012-09-17 | 2019-01-29 | 腾讯科技(深圳)有限公司 | The method and apparatus of the real-time push media information of information are absorbed in based on user |
US10073971B2 (en) * | 2013-06-28 | 2018-09-11 | Microsoft Technology Licensing, Llc | Traffic processing for network performance and security |
US9246935B2 (en) | 2013-10-14 | 2016-01-26 | Intuit Inc. | Method and system for dynamic and comprehensive vulnerability management |
US9313281B1 (en) | 2013-11-13 | 2016-04-12 | Intuit Inc. | Method and system for creating and dynamically deploying resource specific discovery agents for determining the state of a cloud computing environment |
US9501345B1 (en) | 2013-12-23 | 2016-11-22 | Intuit Inc. | Method and system for creating enriched log data |
US9323926B2 (en) | 2013-12-30 | 2016-04-26 | Intuit Inc. | Method and system for intrusion and extrusion detection |
US20150304343A1 (en) | 2014-04-18 | 2015-10-22 | Intuit Inc. | Method and system for providing self-monitoring, self-reporting, and self-repairing virtual assets in a cloud computing environment |
US9325726B2 (en) * | 2014-02-03 | 2016-04-26 | Intuit Inc. | Method and system for virtual asset assisted extrusion and intrusion detection in a cloud computing environment |
US20150222653A1 (en) * | 2014-02-03 | 2015-08-06 | Intuit Inc. | Method and system for extrusion and intrusion detection in a cloud computing environment |
US9936001B2 (en) * | 2014-02-14 | 2018-04-03 | Red Hat, Inc. | Geographic placement of application components by a multi-tenant platform-as-a-service (PaaS) system |
US9866581B2 (en) | 2014-06-30 | 2018-01-09 | Intuit Inc. | Method and system for secure delivery of information to computing environments |
US10757133B2 (en) | 2014-02-21 | 2020-08-25 | Intuit Inc. | Method and system for creating and deploying virtual assets |
US9276945B2 (en) | 2014-04-07 | 2016-03-01 | Intuit Inc. | Method and system for providing security aware applications |
US9245117B2 (en) | 2014-03-31 | 2016-01-26 | Intuit Inc. | Method and system for comparing different versions of a cloud based application in a production environment using segregated backend systems |
US11294700B2 (en) | 2014-04-18 | 2022-04-05 | Intuit Inc. | Method and system for enabling self-monitoring virtual assets to correlate external events with characteristic patterns associated with the virtual assets |
US9374389B2 (en) | 2014-04-25 | 2016-06-21 | Intuit Inc. | Method and system for ensuring an application conforms with security and regulatory controls prior to deployment |
US9900322B2 (en) | 2014-04-30 | 2018-02-20 | Intuit Inc. | Method and system for providing permissions management |
US9319415B2 (en) | 2014-04-30 | 2016-04-19 | Intuit Inc. | Method and system for providing reference architecture pattern-based permissions management |
US9330263B2 (en) | 2014-05-27 | 2016-05-03 | Intuit Inc. | Method and apparatus for automating the building of threat models for the public cloud |
US9473481B2 (en) | 2014-07-31 | 2016-10-18 | Intuit Inc. | Method and system for providing a virtual asset perimeter |
US10102082B2 (en) | 2014-07-31 | 2018-10-16 | Intuit Inc. | Method and system for providing automated self-healing virtual assets |
US10353926B2 (en) | 2015-11-17 | 2019-07-16 | Microsoft Technology Licensing, Llc | Unified activity service |
US10841262B2 (en) * | 2016-01-11 | 2020-11-17 | Etorch, Inc. | Client-agnostic and network-agnostic device management |
US20170216132A1 (en) * | 2016-01-28 | 2017-08-03 | Fire And Ice Therapy, Llc | Thermal Massaging Device |
US10032023B1 (en) * | 2016-03-25 | 2018-07-24 | Symantec Corporation | Systems and methods for selectively applying malware signatures |
CN106682507B (en) | 2016-05-19 | 2019-05-14 | 腾讯科技(深圳)有限公司 | The acquisition methods and device of virus base, equipment, server, system |
CN106385443A (en) * | 2016-09-05 | 2017-02-08 | 北京小米移动软件有限公司 | Page access method and device |
CN106896991B (en) * | 2017-02-21 | 2020-02-28 | 北京小米移动软件有限公司 | Method and device for updating information |
Citations (68)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1997037454A1 (en) | 1996-03-29 | 1997-10-09 | Motorola Inc. | Apparatus and method for spectrum management in a multipoint communication system |
US5910179A (en) | 1996-10-25 | 1999-06-08 | Pitney Bowes Inc. | Method and system for transmitting data within a tree structure and receiving a confirmation or status therefor |
US6035423A (en) | 1997-12-31 | 2000-03-07 | Network Associates, Inc. | Method and system for providing automated updating and upgrading of antivirus applications using a computer network |
US6044367A (en) | 1996-08-02 | 2000-03-28 | Hewlett-Packard Company | Distributed I/O store |
US6052531A (en) | 1998-03-25 | 2000-04-18 | Symantec Corporation | Multi-tiered incremental software updating |
US6088804A (en) | 1998-01-12 | 2000-07-11 | Motorola, Inc. | Adaptive system and method for responding to computer network security attacks |
US6157932A (en) | 1998-06-04 | 2000-12-05 | Aspect Telecommunications | Method of updating a redundant service system while preserving transaction data in a database featuring on-line resynchronization |
US6233618B1 (en) | 1998-03-31 | 2001-05-15 | Content Advisor, Inc. | Access control of networked data |
WO2001055905A1 (en) | 2000-01-28 | 2001-08-02 | Websense, Inc. | Automated categorization of internet data |
US6314565B1 (en) | 1997-05-19 | 2001-11-06 | Intervu, Inc. | System and method for automated identification, retrieval, and installation of multimedia software components |
US6324654B1 (en) | 1998-03-30 | 2001-11-27 | Legato Systems, Inc. | Computer network remote data mirroring system |
US20020009079A1 (en) | 2000-06-23 | 2002-01-24 | Jungck Peder J. | Edge adapter apparatus and method |
US20020009070A1 (en) | 1998-07-24 | 2002-01-24 | Omnipoint Corporation | Communication system with fast control traffic |
US20020013832A1 (en) | 2000-03-30 | 2002-01-31 | Hubbard Edward A. | Software-based network attached storage services hosted on massively distributed parallel computing networks |
US20020023258A1 (en) * | 2000-06-27 | 2002-02-21 | Elwahab Amgad Mazen | System and method for managing telecommunications devices |
US20020083195A1 (en) | 2000-12-22 | 2002-06-27 | Beshai Maged E. | Multi-channel sharing in a high-capacity network |
US20020083175A1 (en) | 2000-10-17 | 2002-06-27 | Wanwall, Inc. (A Delaware Corporation) | Methods and apparatus for protecting against overload conditions on nodes of a distributed network |
US20020100036A1 (en) | 2000-09-22 | 2002-07-25 | Patchlink.Com Corporation | Non-invasive automatic offsite patch fingerprinting and updating system and method |
US20020124181A1 (en) | 2001-03-05 | 2002-09-05 | Masaya Nambu | Method for providing vaccine software and program |
US6484315B1 (en) | 1999-02-01 | 2002-11-19 | Cisco Technology, Inc. | Method and system for dynamically distributing updates in a network |
US20020178262A1 (en) | 2001-05-22 | 2002-11-28 | David Bonnell | System and method for dynamic load balancing |
US20030079145A1 (en) | 2001-08-01 | 2003-04-24 | Networks Associates Technology, Inc. | Platform abstraction layer for a wireless malware scanning engine |
US20030123465A1 (en) | 2001-12-28 | 2003-07-03 | Hughes Electronics Corporation | System and method for content filtering using static source routes |
US6651099B1 (en) | 1999-06-30 | 2003-11-18 | Hi/Fn, Inc. | Method and apparatus for monitoring traffic in a network |
US20040003266A1 (en) | 2000-09-22 | 2004-01-01 | Patchlink Corporation | Non-invasive automatic offsite patch fingerprinting and updating system and method |
US20040030913A1 (en) | 2002-08-08 | 2004-02-12 | Trend Micro Incorporated | System and method for computer protection against malicious electronic mails by analyzing, profiling and trapping the same |
US6725377B1 (en) | 1999-03-12 | 2004-04-20 | Networks Associates Technology, Inc. | Method and system for updating anti-intrusion software |
US20040146006A1 (en) | 2003-01-24 | 2004-07-29 | Jackson Daniel H. | System and method for internal network data traffic control |
US20040153666A1 (en) | 2003-02-05 | 2004-08-05 | Sobel William E. | Structured rollout of updates to malicious computer code detection definitions |
US6782527B1 (en) | 2000-01-28 | 2004-08-24 | Networks Associates, Inc. | System and method for efficient distribution of application services to a plurality of computing appliances organized as subnets |
US6804778B1 (en) | 1999-04-15 | 2004-10-12 | Gilian Technologies, Ltd. | Data quality assurance |
US20050044165A1 (en) | 2003-01-23 | 2005-02-24 | O'farrell Robert | System and method for mobile data update |
US6880086B2 (en) | 2000-05-20 | 2005-04-12 | Ciena Corporation | Signatures for facilitating hot upgrades of modular software components |
US20050091653A1 (en) | 2002-02-13 | 2005-04-28 | Telefonaktiebolaget Lm Ericsson (Publ) | Method and apparatus for load sharing and data distribution in servers |
US20050120229A1 (en) | 2002-01-25 | 2005-06-02 | Pasi Lahti | Anti-virus protection at a network gateway |
US20050144616A1 (en) | 2003-10-27 | 2005-06-30 | Hammond Brad T. | System and method for updating a software program |
US20050204151A1 (en) | 2004-03-12 | 2005-09-15 | Fortinet, Inc. | Systems and methods for updating content detection devices and systems |
US7080000B1 (en) | 2001-03-30 | 2006-07-18 | Mcafee, Inc. | Method and system for bi-directional updating of antivirus database |
US7107537B2 (en) * | 2001-01-16 | 2006-09-12 | Hewlett-Packard Development Company, L.P. | Apparatus and method for updating applications to embedded devices and peripherals within a network environment |
US7159036B2 (en) | 2001-12-10 | 2007-01-02 | Mcafee, Inc. | Updating data from a source computer to groups of destination computers |
US7162538B1 (en) | 2000-10-04 | 2007-01-09 | Intel Corporation | Peer to peer software distribution system |
US7181765B2 (en) | 2001-10-12 | 2007-02-20 | Motorola, Inc. | Method and apparatus for providing node security in a router of a packet network |
US7185332B1 (en) | 1998-03-25 | 2007-02-27 | Symantec Corporation | Multi-tiered incremental software updating |
US7210168B2 (en) | 2001-10-15 | 2007-04-24 | Mcafee, Inc. | Updating malware definition data for mobile data processing devices |
US7292531B1 (en) | 2002-12-31 | 2007-11-06 | Packeteer, Inc. | Methods, apparatuses and systems facilitating analysis of the performance of network traffic classification configurations |
US7320020B2 (en) | 2003-04-17 | 2008-01-15 | The Go Daddy Group, Inc. | Mail server probability spam filter |
US7379993B2 (en) | 2001-09-13 | 2008-05-27 | Sri International | Prioritizing Bayes network alerts |
US7398553B1 (en) | 2000-10-30 | 2008-07-08 | Tread Micro, Inc. | Scripting virus scan engine |
US7401359B2 (en) | 2001-12-21 | 2008-07-15 | Mcafee, Inc. | Generating malware definition data for mobile computing devices |
US7424706B2 (en) | 2003-07-16 | 2008-09-09 | Microsoft Corporation | Automatic detection and patching of vulnerable files |
US7478381B2 (en) | 2003-12-15 | 2009-01-13 | Microsoft Corporation | Managing software updates and a software distribution service |
US7480297B2 (en) | 2004-12-20 | 2009-01-20 | Motorola, Inc. | System and method for controlling packet data bandwidth |
US7577721B1 (en) | 2004-06-08 | 2009-08-18 | Trend Micro Incorporated | Structured peer-to-peer push distribution network |
US7600257B2 (en) | 2004-10-13 | 2009-10-06 | Sonicwall, Inc. | Method and an apparatus to perform multiple packet payloads analysis |
US7639613B1 (en) | 2005-06-24 | 2009-12-29 | Packeteer, Inc. | Adaptive, flow-based network traffic measurement and monitoring system |
US7664048B1 (en) | 2003-11-24 | 2010-02-16 | Packeteer, Inc. | Heuristic behavior pattern matching of data flows in enhanced network traffic classification |
US7672275B2 (en) | 2002-07-08 | 2010-03-02 | Precache, Inc. | Caching with selective multicasting in a publish-subscribe network |
US7681032B2 (en) | 2001-03-12 | 2010-03-16 | Portauthority Technologies Inc. | System and method for monitoring unauthorized transport of digital content |
US7725544B2 (en) | 2003-01-24 | 2010-05-25 | Aol Inc. | Group based spam classification |
US7761503B2 (en) | 2006-01-06 | 2010-07-20 | Microsoft Corporation | Peer distribution point feature for system management server |
US7760722B1 (en) | 2005-10-21 | 2010-07-20 | Oracle America, Inc. | Router based defense against denial of service attacks using dynamic feedback from attacked host |
US7769815B2 (en) | 2008-06-04 | 2010-08-03 | Yahoo! Inc. | System and method for determining that an email message is spam based on a comparison with other potential spam messages |
US7774839B2 (en) | 2002-11-04 | 2010-08-10 | Riverbed Technology, Inc. | Feedback mechanism to minimize false assertions of a network intrusion |
US7814089B1 (en) | 2003-12-17 | 2010-10-12 | Topix Llc | System and method for presenting categorized content on a site using programmatic and manual selection of content items |
US7937697B2 (en) | 2005-05-19 | 2011-05-03 | International Business Machines Corporation | Method, system and computer program for distributing software patches |
US7992142B2 (en) | 2001-10-04 | 2011-08-02 | Ericsson, Ab | Communications networks |
US8046832B2 (en) | 2002-06-26 | 2011-10-25 | Microsoft Corporation | Spam detector with challenges |
US8108429B2 (en) | 2004-05-07 | 2012-01-31 | Quest Software, Inc. | System for moving real-time data events across a plurality of devices in a network for simultaneous data protection, replication, and access services |
-
2004
- 2004-11-30 US US11/000,703 patent/US8051483B2/en not_active Expired - Fee Related
-
2009
- 2009-12-16 US US12/639,800 patent/US8056135B2/en not_active Expired - Fee Related
-
2011
- 2011-09-22 US US13/240,661 patent/US8276205B2/en active Active
-
2012
- 2012-07-11 US US13/546,915 patent/US9450977B2/en active Active
-
2013
- 2013-03-12 US US13/795,407 patent/US8935790B2/en active Active
- 2013-11-05 US US14/072,292 patent/US8943597B2/en active Active
- 2013-11-05 US US14/072,184 patent/US9231968B2/en active Active
-
2016
- 2016-05-07 US US15/149,083 patent/US9774621B2/en active Active
Patent Citations (83)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1997037454A1 (en) | 1996-03-29 | 1997-10-09 | Motorola Inc. | Apparatus and method for spectrum management in a multipoint communication system |
US6044367A (en) | 1996-08-02 | 2000-03-28 | Hewlett-Packard Company | Distributed I/O store |
US5910179A (en) | 1996-10-25 | 1999-06-08 | Pitney Bowes Inc. | Method and system for transmitting data within a tree structure and receiving a confirmation or status therefor |
US6314565B1 (en) | 1997-05-19 | 2001-11-06 | Intervu, Inc. | System and method for automated identification, retrieval, and installation of multimedia software components |
US6269456B1 (en) | 1997-12-31 | 2001-07-31 | Network Associates, Inc. | Method and system for providing automated updating and upgrading of antivirus applications using a computer network |
US6035423A (en) | 1997-12-31 | 2000-03-07 | Network Associates, Inc. | Method and system for providing automated updating and upgrading of antivirus applications using a computer network |
US6088804A (en) | 1998-01-12 | 2000-07-11 | Motorola, Inc. | Adaptive system and method for responding to computer network security attacks |
US20030177485A1 (en) | 1998-03-25 | 2003-09-18 | Ray Soon Waldin | Multi-tiered incremental software updating |
US6052531A (en) | 1998-03-25 | 2000-04-18 | Symantec Corporation | Multi-tiered incremental software updating |
US7185332B1 (en) | 1998-03-25 | 2007-02-27 | Symantec Corporation | Multi-tiered incremental software updating |
US6651249B2 (en) | 1998-03-25 | 2003-11-18 | Symantec Corporation | Multi-tiered incremental software updating |
US6324654B1 (en) | 1998-03-30 | 2001-11-27 | Legato Systems, Inc. | Computer network remote data mirroring system |
US6233618B1 (en) | 1998-03-31 | 2001-05-15 | Content Advisor, Inc. | Access control of networked data |
US6157932A (en) | 1998-06-04 | 2000-12-05 | Aspect Telecommunications | Method of updating a redundant service system while preserving transaction data in a database featuring on-line resynchronization |
US20020009070A1 (en) | 1998-07-24 | 2002-01-24 | Omnipoint Corporation | Communication system with fast control traffic |
US6484315B1 (en) | 1999-02-01 | 2002-11-19 | Cisco Technology, Inc. | Method and system for dynamically distributing updates in a network |
US6725377B1 (en) | 1999-03-12 | 2004-04-20 | Networks Associates Technology, Inc. | Method and system for updating anti-intrusion software |
US7389539B1 (en) | 1999-03-12 | 2008-06-17 | Mcafee, Inc. | Anti-intrusion software updating system and method |
US6804778B1 (en) | 1999-04-15 | 2004-10-12 | Gilian Technologies, Ltd. | Data quality assurance |
US6651099B1 (en) | 1999-06-30 | 2003-11-18 | Hi/Fn, Inc. | Method and apparatus for monitoring traffic in a network |
WO2001055905A1 (en) | 2000-01-28 | 2001-08-02 | Websense, Inc. | Automated categorization of internet data |
US6782527B1 (en) | 2000-01-28 | 2004-08-24 | Networks Associates, Inc. | System and method for efficient distribution of application services to a plurality of computing appliances organized as subnets |
US20020013832A1 (en) | 2000-03-30 | 2002-01-31 | Hubbard Edward A. | Software-based network attached storage services hosted on massively distributed parallel computing networks |
US6880086B2 (en) | 2000-05-20 | 2005-04-12 | Ciena Corporation | Signatures for facilitating hot upgrades of modular software components |
US20020009079A1 (en) | 2000-06-23 | 2002-01-24 | Jungck Peder J. | Edge adapter apparatus and method |
US20020023258A1 (en) * | 2000-06-27 | 2002-02-21 | Elwahab Amgad Mazen | System and method for managing telecommunications devices |
US20020100036A1 (en) | 2000-09-22 | 2002-07-25 | Patchlink.Com Corporation | Non-invasive automatic offsite patch fingerprinting and updating system and method |
US20040003266A1 (en) | 2000-09-22 | 2004-01-01 | Patchlink Corporation | Non-invasive automatic offsite patch fingerprinting and updating system and method |
US7162538B1 (en) | 2000-10-04 | 2007-01-09 | Intel Corporation | Peer to peer software distribution system |
US20020083175A1 (en) | 2000-10-17 | 2002-06-27 | Wanwall, Inc. (A Delaware Corporation) | Methods and apparatus for protecting against overload conditions on nodes of a distributed network |
US7398553B1 (en) | 2000-10-30 | 2008-07-08 | Tread Micro, Inc. | Scripting virus scan engine |
US20020083195A1 (en) | 2000-12-22 | 2002-06-27 | Beshai Maged E. | Multi-channel sharing in a high-capacity network |
US7107537B2 (en) * | 2001-01-16 | 2006-09-12 | Hewlett-Packard Development Company, L.P. | Apparatus and method for updating applications to embedded devices and peripherals within a network environment |
US20020124181A1 (en) | 2001-03-05 | 2002-09-05 | Masaya Nambu | Method for providing vaccine software and program |
US7681032B2 (en) | 2001-03-12 | 2010-03-16 | Portauthority Technologies Inc. | System and method for monitoring unauthorized transport of digital content |
US7080000B1 (en) | 2001-03-30 | 2006-07-18 | Mcafee, Inc. | Method and system for bi-directional updating of antivirus database |
US20020178262A1 (en) | 2001-05-22 | 2002-11-28 | David Bonnell | System and method for dynamic load balancing |
US20030079145A1 (en) | 2001-08-01 | 2003-04-24 | Networks Associates Technology, Inc. | Platform abstraction layer for a wireless malware scanning engine |
US7379993B2 (en) | 2001-09-13 | 2008-05-27 | Sri International | Prioritizing Bayes network alerts |
US7992142B2 (en) | 2001-10-04 | 2011-08-02 | Ericsson, Ab | Communications networks |
US7181765B2 (en) | 2001-10-12 | 2007-02-20 | Motorola, Inc. | Method and apparatus for providing node security in a router of a packet network |
US7210168B2 (en) | 2001-10-15 | 2007-04-24 | Mcafee, Inc. | Updating malware definition data for mobile data processing devices |
US7159036B2 (en) | 2001-12-10 | 2007-01-02 | Mcafee, Inc. | Updating data from a source computer to groups of destination computers |
US7401359B2 (en) | 2001-12-21 | 2008-07-15 | Mcafee, Inc. | Generating malware definition data for mobile computing devices |
US20030123465A1 (en) | 2001-12-28 | 2003-07-03 | Hughes Electronics Corporation | System and method for content filtering using static source routes |
US20050120229A1 (en) | 2002-01-25 | 2005-06-02 | Pasi Lahti | Anti-virus protection at a network gateway |
US7844708B2 (en) | 2002-02-13 | 2010-11-30 | Telefonaktiebolaget Lm Ericsson (Publ) | Method and apparatus for load sharing and data distribution in servers |
US20050091653A1 (en) | 2002-02-13 | 2005-04-28 | Telefonaktiebolaget Lm Ericsson (Publ) | Method and apparatus for load sharing and data distribution in servers |
US8046832B2 (en) | 2002-06-26 | 2011-10-25 | Microsoft Corporation | Spam detector with challenges |
US7672275B2 (en) | 2002-07-08 | 2010-03-02 | Precache, Inc. | Caching with selective multicasting in a publish-subscribe network |
US20040030913A1 (en) | 2002-08-08 | 2004-02-12 | Trend Micro Incorporated | System and method for computer protection against malicious electronic mails by analyzing, profiling and trapping the same |
US7774839B2 (en) | 2002-11-04 | 2010-08-10 | Riverbed Technology, Inc. | Feedback mechanism to minimize false assertions of a network intrusion |
US7292531B1 (en) | 2002-12-31 | 2007-11-06 | Packeteer, Inc. | Methods, apparatuses and systems facilitating analysis of the performance of network traffic classification configurations |
US20050044165A1 (en) | 2003-01-23 | 2005-02-24 | O'farrell Robert | System and method for mobile data update |
US20040146006A1 (en) | 2003-01-24 | 2004-07-29 | Jackson Daniel H. | System and method for internal network data traffic control |
US7725544B2 (en) | 2003-01-24 | 2010-05-25 | Aol Inc. | Group based spam classification |
US20040153666A1 (en) | 2003-02-05 | 2004-08-05 | Sobel William E. | Structured rollout of updates to malicious computer code detection definitions |
US7320020B2 (en) | 2003-04-17 | 2008-01-15 | The Go Daddy Group, Inc. | Mail server probability spam filter |
US7424706B2 (en) | 2003-07-16 | 2008-09-09 | Microsoft Corporation | Automatic detection and patching of vulnerable files |
US20050144616A1 (en) | 2003-10-27 | 2005-06-30 | Hammond Brad T. | System and method for updating a software program |
US7664048B1 (en) | 2003-11-24 | 2010-02-16 | Packeteer, Inc. | Heuristic behavior pattern matching of data flows in enhanced network traffic classification |
US7478381B2 (en) | 2003-12-15 | 2009-01-13 | Microsoft Corporation | Managing software updates and a software distribution service |
US7814089B1 (en) | 2003-12-17 | 2010-10-12 | Topix Llc | System and method for presenting categorized content on a site using programmatic and manual selection of content items |
US20100154064A1 (en) | 2004-03-12 | 2010-06-17 | Fortinet, Inc. | Systems and methods for updating content detection devices and systems |
US8051483B2 (en) | 2004-03-12 | 2011-11-01 | Fortinet, Inc. | Systems and methods for updating content detection devices and systems |
US8935790B2 (en) | 2004-03-12 | 2015-01-13 | Fortinet, Inc. | Systems and methods for updating content detection devices and systems |
US20140068749A1 (en) | 2004-03-12 | 2014-03-06 | Fortinet, Inc. | Systems and methods for updating content detection devices and systems |
US8276205B2 (en) | 2004-03-12 | 2012-09-25 | Fortinet, Inc. | Systems and methods for updating content detection devices and systems |
US20130263246A1 (en) | 2004-03-12 | 2013-10-03 | Fortinet, Inc. | Systems and methods for updating content detection devices and systems |
US20120017277A1 (en) | 2004-03-12 | 2012-01-19 | Fortinet, Inc. | Systems and methods for updating content detection devices and systems |
US20140059689A1 (en) | 2004-03-12 | 2014-02-27 | Fortinet, Inc. | Systems and methods for updating content detection devices and systems |
US20050204151A1 (en) | 2004-03-12 | 2005-09-15 | Fortinet, Inc. | Systems and methods for updating content detection devices and systems |
US8056135B2 (en) | 2004-03-12 | 2011-11-08 | Fortinet, Inc. | Systems and methods for updating content detection devices and systems |
US8943597B2 (en) | 2004-03-12 | 2015-01-27 | Fortinet, Inc. | Systems and methods for updating content detection devices and systems |
US8108429B2 (en) | 2004-05-07 | 2012-01-31 | Quest Software, Inc. | System for moving real-time data events across a plurality of devices in a network for simultaneous data protection, replication, and access services |
US7577721B1 (en) | 2004-06-08 | 2009-08-18 | Trend Micro Incorporated | Structured peer-to-peer push distribution network |
US7600257B2 (en) | 2004-10-13 | 2009-10-06 | Sonicwall, Inc. | Method and an apparatus to perform multiple packet payloads analysis |
US7480297B2 (en) | 2004-12-20 | 2009-01-20 | Motorola, Inc. | System and method for controlling packet data bandwidth |
US7937697B2 (en) | 2005-05-19 | 2011-05-03 | International Business Machines Corporation | Method, system and computer program for distributing software patches |
US7639613B1 (en) | 2005-06-24 | 2009-12-29 | Packeteer, Inc. | Adaptive, flow-based network traffic measurement and monitoring system |
US7760722B1 (en) | 2005-10-21 | 2010-07-20 | Oracle America, Inc. | Router based defense against denial of service attacks using dynamic feedback from attacked host |
US7761503B2 (en) | 2006-01-06 | 2010-07-20 | Microsoft Corporation | Peer distribution point feature for system management server |
US7769815B2 (en) | 2008-06-04 | 2010-08-03 | Yahoo! Inc. | System and method for determining that an email message is spam based on a comparison with other potential spam messages |
Non-Patent Citations (77)
Title |
---|
A. D. Wood and J. A. Stankovic, "Denial of service in sensor networks," in Computer, vol. 35, No. 10, pp. 54-62, Oct. 2002. * |
Andersen, David, et al., "Resilient Overlay Networks", Proceedings of the eighteenth ACM symposium on Operating systems principles, (Oct. 21, 2001), 15 pgs. |
Bace, Rebecca, et al., "NIST Special Publication on Intrusion Detection Systems", Booz-Allen and Hamilton Inc., (2001), 53 pgs. |
Barry, R L, et al., "Mulifractal Characterzation for Classification of Network Traffic", Proceedings ICCECE- CCGEI, vol. IV, (2004), 1453-1457. |
Bhattacharyya, Manasi, et al., "MET: An Experimental System for Malicious Email Tracking", New Security Paradigms Workshop, (2002), 3-10. |
Bhola, Sumeer, et al., "Exactly-once Delivery in a Content-based Publish-Subscribe System", Dependable Systems and Networks, 2002. DSN 2002. Proceedings. International Conference, (2002), 10 pgs. |
Boniforti, Christian, "Securing a University's Bandwidth with PacketShaper. Version 1.4b, Option B", SANS Institute. Global Information Assurance Certification Paper, (Mar. 2003), 31 pgs. |
Brin, Sergey, et al., "The Anatomy of a Large- Scale Hypertextual Web Search Engine", Elsevier Science Publisher, (1998), 24 pgs. |
Chalak, Ashok, et al., "Effective Data Mining Techinques for Intrusion Detection and Prevention System", UACEE International Journal of Advances in Computer Networks and its Security, (2011 ), 286-290. |
Chandola, Varun, et al., "Data Mining for Cyber Security", Data Warehousing and Data Mining Techniques for Computer Security, (2006), 20 pgs. |
Chen, Yao-Min, et al., "Policy management for network-based intrusion detection and prevention", Network Operations and Management Symposium, 2004. NOMS 2004. IEEE/FIP vol. 2, (Apr. 23, 2004), 218-232. |
Choi, TS, et al., "Content-Aware Internet Application Traffic Measurement and Analysis", Network Operations and Management Symposium, 2004. NOMS 2004. IEEE/IFIP. vol. 1, 2004), 511-524. |
Cohn, David, et al., "Semi-supervised Clustering with User Feedback", Cornell University, 2003), 9 pgs. |
Cooley, AL, "Using Integrated Security Platforms to Improve Network Security and Reduce Total Cost of Ownership", Astaro Internet Security, (Oct. 24, 2003), 14 pgs. |
Davison, Brian D., "Topical Locality in the Web", Department of Computer Science Rutgers, The State University of New Jersey, (2000), 272-279. |
De Rijk, Mark, "Use offense to inform defense. Find flaws before the bad guys do. Case study: Implementing Trend Micro antivirus solutions in the enterprise.", SANS Penetration Testing, (Nov. 2002), 18 pgs. |
Debar, Herve, et al., "Aggregation and Correlation of Intrusion-Detection Alerts", IBM Research, Zurich Research Laboratory, (2001), 87-105. |
Dokas, Paul, et al., "Data Mining for Network Intrusion Detection", Proc. NSF Workshop on Next Generation Data Mining, (2002), 21-30. |
Dumais, Susan, et al., "Hierarchical Classification of Web Content", Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, (2000), 256-263. |
E. Shi and A. Perrig, "Designing secure sensor networks," in IEEE Wireless Communications, vol. 11, No. 6, pp. 38-43, Dec. 2004. * |
Ertoz, L., et al., "Detection and Summarization of Novel Network Attacks Using Data Mining", AHPCRC Technical Report, (2003), 23 pgs. |
Ertoz, Levent, et al., "Detection of Novel Network Attacks Using Data Mining", Computer Science Department, University of Minnesota, (Jan. 26, 2015), 10 pgs. |
Ertoz, Levent, et al., "MINDS-Minnesota Intrusion Detection System", Chapter 3, (2003), 21 pgs. |
Ertoz, Levent, et al., "MINDS—Minnesota Intrusion Detection System", Chapter 3, (2003), 21 pgs. |
Ester, Martin, et al., "Web Site Mining: A new way to spot Competitors, Customers and Suppliers in the World Wide Web", SIGKDD, (2002), 249-258. |
Eugster, Patrick T., "The Many Faces of Publish/Subscribe", ACM Computing Surveys, 35(2), (Jun. 2003), 114-131. |
Eustice, Kevin, et al. "Securing nomads: the case for quarantine, examination, and decontamination." Proceedings of the 2003 workshop on New security paradigms. (pp. 123-128). ACM, 2003. * |
Fisk, Mike, et al., "Fast Content-Based Packet Handling for Intrusion Detection", UCSD Technical Report CS2001-0670, (May 2001), 1-14. |
Freed, Les, "Corporate Antivirus: Germ Warfare at Work", PC Magazine, (May 9, 2000), 7 pgs. |
Gong, Dr. Fendmim, "Next Generation Intrusion Detection Systems (IDS)", McAfee Security, (Mar. 2002), 16 pgs. |
Gong, Fengmin, "Next Generation Intrusion Detection systems (IDS)", Network Associates, (Mar. 2002), 16 pgs. |
Gupta, Manish, et al., "Intrusion Countermeasures Secutiry Model Based on Prioritization Scheme for Intranet Access Security (Emerging Concepts Category)", Proceedings of the 2003 IEEE Workshop on Information Assurance, (2003), 174-181. |
Gupta, P., et al., "Packet Classification on Multiple Fields", Proceedings of the Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication (ACM SIGCOMM '99), (1999), pp. 147-160. |
Gupta, Pankaj, et al., "Algorithms for Packet Classification", IEEE Network, (Mar. 2001 ), 29 pgs. |
Haas, Norman, et al., "Personalized News Through Content Augmentation and Profiling", IEEE, Paper 238, (2002), 5 pgs. |
Hauswirth, Manfred, et al., "A Component and Communication Model for Push Systems", Proceedings of the 7th European software engineering conference held jointly with the 7th ACM SIGSOFT International symposium on Foundations of software engineering, (1999), 38 pgs. |
Hoffmeyr, Steven, "An Immunological Model of Distributed Detection and Its Application to Computer Security", University of Witwatersrand, (May 199), 135 pgs. |
Jackson, Kathleen, "Intrusion Detection System (IDS) Product Survey. Version 2.1", Distributed Knowledge Systems Team Computer Research and Applications Group Computing, Information, and Communications Division Los Alamos National Laboratory Los Alamos, New Mexico, (Jun. 25, 1999), 106 pgs. |
Jungck, Peder, et al., "Computing Practices: Issues in High-Speed Internet Security", Published by the IEEE Computer Society, (Jul. 2004), 36-42. |
Karagiannis, Thomas, et al., "Transport Layer Identifcation of P2P Traffic", IMC, (2004), 14 pgs. |
Kephart, Jeffrey, et al., "Automatic Extraction of Computer Virus Signatures", In Proceedings of the 4th Virus Bulletin International Conference, R. Ford, ed., Virus Bulletin Ltd., 1994), 179-194. |
Kreibich, Christian, et al., "Honeycomb- Creating Intrusion Detection Signatures Using Honeypots", ACM SIGCOMM Computer Communications Review, vol. 34, No. 1, (Jan. 2004), 51-56. |
Lakshminarayanan, Karthik, et al., "Algorithms for Advanced Packet Classification with Ternary CAMS", SIGCOMM, (2005), 193-204. |
Lee, Wenke, et al., "A Framework for Constructing Features and Models for Intrusion Detection Systems", ACM Transactions on Information and System Security, vol. 3, No. 4, (Nov. 2000), 227-261. |
Li, Jun, et al., "Resilient Self-Organizing Overlay Networks for Security Update Delivery", IEEE Journal on Selected Areas in Communications (vol. 22, No. 1), (Jan. 1, 2004), 14 pgs. |
Lockwood, John, et al., "An Extensible, System-on-Programmable-Chip, Content-Aware Internet Firewall", 13th International Conference, FPL, Lecture Notes in Computer Science vol. 2778, (2003), 859-868. |
Lonvick, C, "Network Working Group Request for Comments: 3164 Category: Informational: The BSD syslog Protocol", Cisco Systems, (Aug. 2001 ), 30 pgs. |
Lynxwiler, Rodney, "Implementing a Norton AntiVirus Managed Infrastructure", Symantec Corporate, (2002), 13 pgs. |
Ma, Pingchuan, "Log Analysis-Based Intrusion Detection via Unsupervised Learning", School of Informatics University of Edinburgh, (2003), 1-70. |
Malan, G. Robert, et al., "Salamander: A Push-based Distribution Substrate for Internet Applications", USENIX Symposium on Internet Technologies and Systems, (Dec. 1997), 12 pgs. |
Malkin, Gary, "RIP Version 2", Network Working Group. Request for Comments: 2453, (Nov. 1998), 1-39. |
Maselli, Gaia, et al., "Design and Implementation of an Anomaly Detection System: an Emperical Approach", TERENA Networking Conference, (2003), 1-20. |
Merrick, David, "Hardware Flow Classification's Potential Impact on Security-in-Depth/KS/Design. GSEC Practical Version 1.3", SANS Institute. Global Information Assurance Certification Paper, (Apr. 15, 2002), 12 pgs. |
Moore, Andrew, et al., "Toward the Accurate Identification of Network Applications", Passive and Active Network Measurement. 6th International Workshop, PAM, (2005), 15 pgs. |
Nachenberg, Carey, "Computer Virus- Coevolution", Communications of the ACM vol. 40 No. 1, (Jan. 1997), 46-51. |
Nakayama, Takehiro, "Content-Oriented Categorization of Document Images", COLING '96 Proceedings of the 16th conference on Computational linguistics, vol. 2, (1996), 818-823. |
Neubauer, Bruce J, et al., "Protection of computer systems from computer viruses: ethical and practical issues", Journal of Computing Sciences in Colleges, vol. 18, No. 1, (Oct. 2002), 270-279. |
Noel, Steven, et al., "Modern Intrusion Detection, Data Mining, and Degrees of Attack Guilt", Applications of Data Mining in Computer Security, vol. 6., Kluwer Academic Publishers, (2002), 1-31. |
Noel, Steven, et al., "Optimal IDS Sensor Placement and Alert Prioritization Using Attack Graphs", JNSM, vol. 16, Issue 3, (2008), 1-15. |
Northcutt, Stephen, et al., "Chapter 3: Stateful Firewalls", Inside Network Perimeter Security, 2nd Edition, Pearson, (2005), 55-86. |
Oveissian, A, et al., "Fast Flow Classification over Internet", Proceedings of the Second Annual Conference on Communication Networks and Services Research, (2004), 8 pgs. |
Pietzuch, Peter R., et al., "Hermes: A Distributed Event-Based Middleware Architecture", Distributed Computing Systems Workshops, 2002. Proceedings. 22nd International Conference, (2002), 8 pgs. |
Rabek, Jesse, et al., "Detecting Privilege-Escalating Executable Exploits", In ICDM Workshop on Data Mining for Computer Security, (2003), 1-7. |
Radcliff, Deborah, "The Evolution of IDS", Network World, (Nov. 8, 2004), 4 pgs. |
Rigney, Steve, "Network Antivirus: Defend Your Network", PC Magazine, (May 4, 1999), 4 pgs. |
Roeckl, Chris, "Stateful Inspection Firewalls: An Overview of Firewall Technology and How Juniper Networks Implements it. White Paper", (2004), 1-14. |
Roughan, Matthew, et al., "Class-of-Service Mapping for QoS: A Statistical Signature based Approach to IP Traffic Classification", IMC, (2004), 135-148. |
Salvatore, J, et al., "Combining Behavior Models to Secure Email Systems", CU Tech Report, (May 16, 2003), 1-14. |
Salvatore, J, et al., "Detecting Viral Propagations Using Email Behavior Profiles", ACM Transactions on Internet Technology, (2006), 47 pgs. |
Schultz, Matthew, "Data Mining Methods for Detection of New Malicious Executables", Proceedings of the 2001 IEEE Symposium on Security and Privacy, (2001 ), 1-14. |
Schultz, Matthew, et al., "Data Mining Methods for Detection of New Malicious Executables", Proceedings of the 2001 IEEE Symposium on Security and Privacy, (2001 ), 38-49. |
Srinivasan, V., et al., "Packet Classification Using Tuple Space Search", Proceedings of the Conference on Applications, Technologies, Architectures, and Protocols (ACM SIGCOMM '99),(1999), pp. 135-146. |
Subramanya, S. R., et al., "Computer Viruses", Potentials, IEEE vol. 2, No. 4, (Oct./Nov. 2001 ), 16-19. |
Wenjie, Hu, "Robust Anomaly Detection Using Support Vector Machines", ICML, (2003), 1-8. |
Wespi, Andreas, "Lecture Notes in Computer Science 2516- Part 1 Recent Advances in Intrusion Detection", 5th International Symposium, RAID 2002, (Oct. 2002), 1-157. |
Wu, Yu-Sung, et al., "SCIDIVE: A Stateful and Cross Protocol Intrusion Detection Architecture for Voice-over-IP Environments", Proceedings of the 2004 International Conference on Dependable Systems and Networks (DSN'04) Washington, DC, USA: IEEE Computer Society, (2004), 10 pgs. |
Zander, Sebastian, et al., "Automated Traffic Classification and Application Identification using Machine Learning", Proceedings of the IEEE Conference on Local Computer Networks 3oth Anniversary, (2005), 8 pgs. |
Also Published As
Publication number | Publication date |
---|---|
US8935790B2 (en) | 2015-01-13 |
US8051483B2 (en) | 2011-11-01 |
US9450977B2 (en) | 2016-09-20 |
US20050204151A1 (en) | 2005-09-15 |
US20140068749A1 (en) | 2014-03-06 |
US20100154064A1 (en) | 2010-06-17 |
US8056135B2 (en) | 2011-11-08 |
US8943597B2 (en) | 2015-01-27 |
US8276205B2 (en) | 2012-09-25 |
US20120278896A1 (en) | 2012-11-01 |
US20160381044A1 (en) | 2016-12-29 |
US20130263246A1 (en) | 2013-10-03 |
US9231968B2 (en) | 2016-01-05 |
US20140059689A1 (en) | 2014-02-27 |
US20120017277A1 (en) | 2012-01-19 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US9774621B2 (en) | Updating content detection devices and systems | |
US9634989B2 (en) | Systems and methods for detecting undesirable network traffic content | |
US9825989B1 (en) | Cyber attack early warning system | |
US8726338B2 (en) | Dynamic threat protection in mobile networks | |
US7281268B2 (en) | System, method and computer program product for detection of unwanted processes | |
US9185127B2 (en) | Network protection service | |
US20060041942A1 (en) | System, method and computer program product for preventing spyware/malware from installing a registry | |
US7231665B1 (en) | Prevention of operating system identification through fingerprinting techniques | |
US8181245B2 (en) | Proxy-based malware scan | |
US9628513B2 (en) | Electronic message manager system, method, and computer program product for scanning an electronic message for unwanted content and associated unwanted sites | |
US7908658B1 (en) | System using IM screener in a client computer to monitor bad reputation web sites in outgoing messages to prevent propagation of IM attacks | |
US7333430B2 (en) | Systems and methods for passing network traffic data | |
US20210314355A1 (en) | Mitigating phishing attempts | |
US8082583B1 (en) | Delegation of content filtering services between a gateway and trusted clients in a computer network | |
US20100169484A1 (en) | Unauthorized Communication Program Regulation System and Associated Program | |
CN112217770B (en) | Security detection method, security detection device, computer equipment and storage medium | |
GB2432687A (en) | Preventing spyware/malware from installing in a registry | |
US20220239676A1 (en) | Cyber-safety threat detection system | |
WO2023169852A1 (en) | Computer-implemented network security method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
STCF | Information on status: patent grant |
Free format text: PATENTED CASE |
|
MAFP | Maintenance fee payment |
Free format text: PAYMENT OF MAINTENANCE FEE, 4TH YEAR, LARGE ENTITY (ORIGINAL EVENT CODE: M1551); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY Year of fee payment: 4 |